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Pediatric Emergency Department (ED) utilization in the U.S. saw large declines during the COVID19 pandemic. What is relatively unexplored is whether the extent of declines differed by race and insurance status. An observational study was conducted using electronic medical record (EMR) data from the largest pediatric ED in Alabama for 2020 and 2019. The four subgroups of interest were African-American (AA), Non-Hispanic White (NHW), privately insured (PRIVATE), and publicly insured or self-insured (PUBLIC-SELF). Percentage changes in the 7-day moving average between dates in 2020 and 2019 were computed for total and high-severity ED visits by subgroup. Trends in percentage changes were plotted. T-tests were used to compare mean changes between subgroups. Large percentage declines in total ED visits and somewhat smaller percentage declines in high-severity visits were observed from March 2020. Declines were consistently larger for AA than NHW and for PUBLIC-SELF than PRIVATE. T-test results indicated mean date-specific percentage declines were significantly larger for AA than NHW for total visits (-38.92% [95% CI: -41.1, -36.8] versus -29.11% [95% CI: -30.8, -27.4]; p<0.001) and high-severity visits (-24.31% [95% CI: -26.2, -22.4] versus -19.49% [95% CI:-21.2, -17.8]; p<0.001), and larger for PUBLIC-SELF than PRIVATE for total visits (-36.32% [95% CI:-38.4, -34.3] versus 27.63% [95% CI:-29.2, -26.0]; p<0.001) and high-severity visits (-21.72% [95% CI: -23.5, -19.9] versus -20.01% [95% CI: -21.7, -18.3]; p = 0.04). In conclusion, significant differences by race and insurance status were observed in the decline in ED visits during the COVID19 pandemic, including high-severity visits. Minority-race and publicly insured or self-insured children often depend on the ED for health needs, lacking a usual source of care. Thus, these findings have worrisome implications regarding unmet healthcare needs and future exacerbations in health disparities.

Objectives. We conducted a systematic review of the literature examining the relationship between built environments (e.g., parks, trails, sidewalks) and physical activity (PA) or obesity rates. Methods. We performed a 2-step inclusion protocol to identify empirical articles examining any form of built environment and any form of PA (or obesity rate) as the outcome. We extracted data from included abstracts for analysis by using a standard code sheet developed for this study. Results. Of 169 included articles, 89.2% reported beneficial relationships—but virtually all articles utilized simple observational study designs not suited for determining causality. Studies utilizing objective PA measures (e.g., pedometer) were 18% less likely to identify a beneficial relationship. Articles focusing on children in community settings (–14.2%), those examining direct measures of obesity (–6.2%), or those with an academic first author (–3.4%) were less likely to find a beneficial relationship. Conclusions. Policymakers at federal and local levels should encourage more rigorous scientific research to determine whether altered built environments will result in increased PA and decreased obesity rates.

To examine the extent to which the gendered division of labour persists within households in the USA in regard to meal planning/preparation and food shopping activities. Secondary analysis of cross-sectional data. 2007-2008 US National Health and Nutrition Examination Survey. Sub-sample of 3195 adults at least 20 years old who had a spouse or partner. Analyses revealed that the majority of women and men reported they shared in both meal planning/preparing and food shopping activities (meal planning/preparation: women 54 % and men 56 %; food shopping: women 60 % and men 57 %). Results from multinomial logistic regression analyses indicated that, compared with men, women were more likely to take primary responsibility than to share this responsibility and less likely to report having no responsibility for these tasks. Gender differences were observed for age/cohort, education and household size. This study may have implications for public health nutritional initiatives and the well-being of families in the USA.

This commentary reviews common myths and presumptions about obesity and also provides some useful evidence-based concepts about overweight and obesity. Passionate interests, the human tendency to seek explanations for observed phenomena, and everyday experience appear to contribute to strong convictions about obesity, despite the absence of supporting data. When the public, mass media, government agencies, and even academic scientists espouse unsupported beliefs, the result may be ineffective policy, unhelpful or unsafe clinical and public health recommendations, and an unproductive allocation of resources. In this article, we review some common beliefs about obesity that are not supported by scientific evidence and also provide some useful evidence-based concepts. We define myths as beliefs held to be true despite substantial refuting evidence, presumptions . . .

Background To examine racial/ethnic and educational inequities in the relationship between state-level restrictive abortion policies and adverse birth outcomes from 2005 to 2015 in the United States. Methods Using a state-level abortion restrictiveness index comprised of 18 restrictive abortion policies, we conducted a retrospective longitudinal analysis examining whether race/ethnicity and education level moderated the relationship between the restrictiveness index and individual-level probabilities of preterm birth (PTB) and low birthweight (LBW). Data were obtained from the 2005–2015 National Center for Health Statistics Period Linked Live Birth-Infant Death Files and analyzed with linear probability models adjusted for individual- and state-level characteristics and state and year fixed-effects. Results Among 2,250,000 live births, 269,253 (12.0%) were PTBs and 182,960 (8.1%) were LBW. On average, states had approximately seven restrictive abortion policies enacted from 2005 to 2015. Black individuals experienced increased probability of PTB with additional exposure to restrictive abortion policies compared to non-Black individuals. Similarly, those with less than a college degree experienced increased probability of LBW with additional exposure to restrictive abortion policies compared to college graduates. For all analyses, inequities worsened as state environments grew increasingly restrictive. Conclusion Findings demonstrate that Black individuals at all educational levels and those with fewer years of education disproportionately experienced adverse birth outcomes associated with restrictive abortion policies. Restrictive abortion policies may compound existing racial/ethnic, socioeconomic, and intersecting racial/ethnic and socioeconomic perinatal and infant health inequities.

During the early days and months of the COVID-19 pandemic, healthcare facilities experienced a slump in non-COVID-related visits, and there was an increasing interest in telehealth to deliver healthcare services for adult and pediatric patients. The study investigated telehealth use variation by race/ethnicity and place of residence for the pediatric enrollees of the Alabama Medicaid program. This retrospective observational study examined Alabama Medicaid claims data from March to December 2020 for enrollees less than 19 years. There were 637,792 pediatric enrollees in the Alabama Medicaid program during the study period, and 16.9% of them had used telehealth to meet healthcare needs. This study employed a multivariate Poisson mixed-effects model with robust error variance to obtain differences in telehealth utilization and found that Non-Hispanic Black children were 80% as likely, Hispanic children were 55% as likely, and Asian Children were 46% as likely to have used telehealth compared to Non-Hispanic White children. Pediatric enrollees in large rural areas and isolated areas were significantly less likely (IRR: 0.90 for both, p<0.05) to use telehealth than those in urban areas. This study’s findings suggest that attention needs to be paid to addressing race/ethnicity disparities in accessing telehealth services.

ObjectiveState medicaid programs provide access to effective contraception for people with lower incomes. This study examined contraception use and pregnancy among reproductive-age women enrolled in the South Carolina Medicaid, by eligibility program and socio-demographic sub-groups.MethodsA retrospective cohort of women aged 15–45 who were newly eligible for South Carolina Medicaid from 2012 to 2016 was examined. Log-binomial regression and average marginal effects assessed relationships between contraception use and pregnancies ending in live and non-live births. Contraception was categorized as permanent, long acting reversible contraception (LARC), short-acting hormonal contraception (SAC), or no contraceptive claims. Women with family planning or full-benefit medicaid coverage were included.ResultsApproximately 11% of women used LARC methods, 41% used SAC methods, and 46% had no evidence of contraceptive claims. Method utilization varied by eligibility program, race/ethnicity and age. The likelihood of pregnancy was lower among SAC users and lowest among LARC users compared to women with no evidence of contraception across all three programs (family planning APR = 0.44; 95% CI 0.41–0.49 and APR = 0.13, 95% CI 0.10–0.17; Low income families APR = 0.82; 95% CI 0.77–0.88 and APR = 0.33, 95% CI 0.28–0.38; Partners for Healthy Children APR = 0.72; 95% CI 0.68–0.77 and APR = 0.35, 95% CI 0.30–0.43, respectively). Non-Hispanic Black and Hispanic teens were less likely to experience a pregnancy than non-Hispanic white teens.Conclusions for PracticeThe likelihood of pregnancy was lower among women using SAC methods and markedly lower among women using LARC. Variation in contraceptive use among racial/ethnic groups was noted despite Medicaid coverage. As new policies and initiatives emerge, these findings provide important context for understanding the role of Medicaid programs in reducing financial barriers to contraceptive services and ensuring access to effective contraception, while fostering reproductive health autonomy among women.

Background Telehealth can improve access to evidence-based care at a lower cost for patients, especially those living in underserved and remote areas. The barriers to the widespread adoption of telehealth have been well documented in the literature. However, the barriers may not be the same for pediatric patients, who must rely on their parents or guardians to make healthcare decisions. This paper presents some of the leading barriers parents or guardians of pediatric patients report in using telehealth to meet their children’s healthcare needs. Methods This cross-sectional survey was conducted in a tertiary care pediatric Emergency Department (ED) at a children’s hospital in Alabama between September 2020 to December 2020. The parents or guardians of pediatric patients were asked about their reasons for not using telehealth despite having healthcare needs for their children, whether they canceled or rescheduled healthcare provider visits and facility visits, and whether the child’s health conditions changed over the past three months. Descriptive analyses were conducted that explored the distribution of telehealth use across the variables listed above. Results Five hundred ninety-seven parents or guardians of pediatric patients participated in the survey, and 578 answered the question of whether they used telehealth or not over the past three months. Of them, 33.1% used telehealth, 54.3% did not, and 12.6% did not have healthcare needs for their child. The leading reason for not using telehealth was that the doctor or health provider did not give them a telehealth option, the second main reason was that they did not know what telehealth is, and the third leading reason was that the parents did not think telehealth would help meet healthcare needs for their child. Conclusions This study highlights the telehealth utilization barriers among underserved pediatric populations, including the need for physicians to proactively offer telehealth options to parents or guardians of pediatric patients. Improving health literacy is of paramount importance, given that a substantial proportion of parents were not familiar with telehealth. Policymakers and healthcare organizations should raise awareness about the benefits of telehealth which can improve healthcare access for underserved pediatric patients.

ObjectiveTo propose a tailored social ecological model for Autism Spectrum Disorders and explore relationships between variables in a large nationally-representative dataset.MethodsA tailored social-ecological model was developed and examined across variables in the 2016/2017 National Survey of Children’s Health. A series of iterative multivariable logistic regressions were performed including individual, family, and community/neighborhood variables. A multivariable logistic regression using state-level fixed effects was performed to understand dynamics related to macro-level policies.ResultsIn the full model, gender, disability severity, certain types of insurance coverage and household income were significantly related to ASD diagnosis. Females had lower odds of a diagnosis compared to males (aOR: 0.27; CI:0.18–0.41). Children with at least one other moderate/severe disability had odds 7.61 higher (CI:5.36–10.82) of a diagnosis than children without moderate/severe disabilities. Children with public insurance only (aOR:1.66; CI:1.14–2.41) or both private and public insurance coverage (aOR: 2.62; CI:1.6–4.16) had higher odds of a diagnosis compared to children with private insurance only. For those who reported it was “somewhat” or “very often” hard to cover basics with their income, odds of a diagnosis were higher compared to those who reported it was “never” or “hardly ever” hard to cover basics (aOR: 1.676; CI:0.21–2.56).Conclusions for PracticePatterns of ASD diagnosis are related to individual and family characteristics. There is some evidence that a child’s environment has some relationship to reported ASD diagnosis. Professionals should be aware of an individual’s environmental factors or context when assessing for ASD.

Introduction: Childhood obesity affects ~20% of children in the United States. Environmental influences, such as parks, are linked with increased physical activity (PA). Objective: To examine whether changes in Body Mass Index (BMI) z-score were associated with construction of a new park. Methods: A quasi-experimental design was used to determine whether living in proximity of a park was associated with a reduction in BMI z-score. Children were selected from health clinics within an 11 mile radius of the park. A repeated-measure ANOVA was employed for analysis of the relationship between exposure (new park) and BMI z-score. Results: Participants were 1443 (median age 10.3 range (2–17.9 years), BMI: z-score 0.84 ± 1.09) African American (77.4%) adolescents. Change in BMI z-score was not statistically different for children living at different distances from the park after controlling for age, gender, race, ethnicity, or payer type (p = 0.4482). We did observe a small 0.03 increase in BMI z-score from pre- to post-park (p = 0.0007). There was a significant positive association between child’s baseline age and BMI z-score (p < 0.001). Conclusions: This study found proximity to a park was not associated with reductions in BMI z-score. Additional efforts to understand the complex relationship between park proximity, access, and PA are warranted.